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ABSTRACT: Background
Kidney renal clear cell carcinoma (KIRC) affects the genitourinary system. Although treatment of KIRC in early stages can be highly successful, this type of cancer is difficult to detect until later stages of disease that are less easily treatable. Previous studies have focused on tumor cells, but have ignored the contributions of the tumor microenvironment.Methods
We analyzed KIRC gene expression data from The Cancer Genome Atlas with the ESTIMATE algorithm to identify differentially expressed genes. Through protein-protein interaction network analysis, we identified clusters and picked genes from the clusters for further analysis. Differential expression, Kaplan-Meier, and univariate Cox analyses were used to select prognostic biomarkers. Gene Set Enrichment An
SUBMITTER: Jiang M
PROVIDER: S-EPMC7333652 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature